

Fraud Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Fraud Data Analyst for a 12-month contract, hybrid in Mountain View, CA. Requires 4+ years in e-commerce or financial services, strong SQL skills, and dashboard creation. Bachelor's degree in a related field is mandatory.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 20, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Mountain View, CA
-
π§ - Skills detailed
#Computer Science #Splunk #Datasets #QlikView #Data Engineering #R #Data Analysis #SQL (Structured Query Language) #Visualization #"ETL (Extract #Transform #Load)" #Tableau #Data Science #Python #GitHub #Leadership
Role description
Fraud Data Analyst
12 Month Contract (Possible extension)
Location: Hybrid (Client located in Mountain View, CA)
Work Shift: Monday through Friday (8:00AM β 5:00PM PST)
β’ Must be able to work on W-2 basis
β’ Must be local to the Mountain View, CA area
JOB DESCRIPTION
This global financial technology leader has an immediate long-term contract opportunity in Mountain View, CA for a Fraud Data Analyst This position requires working onsite Monday-Friday.
Contract Duration: 12+ Months
We are seeking a Fraud Analyst to join our Trust & Safety team.
In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, aiming to gain a comprehensive understanding of how bad actors operate. This requires a keen eye for detail, strong analytical skills, and familiarity with data visualization techniques. You will be responsible for creating intuitive dashboards that will allow your stakeholders to monitor and mitigate these fraudulent patterns efficiently.
β’ Transform data into actionable and relevant insights for your stakeholders.
β’ Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets
β’ Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers.
β’ Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions
β’ Perform in-depth exploration and analysis of both internal and external data sources
β’ Identify developing patterns of fraudulent activities within the company's extensive range of products
β’ Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes
β’ Work closely with local and global teams in policy, product, data engineering, data science, and R&D.
Skills:
Qualifications Required Qualifications:
β’ +4 years of experience analyzing complex datasets and providing business recommendations.
β’ +4 years of experience working in an e-commerce, payments, or financial services company.
β’ +4 years of experience building dashboards and data visualization.
β’ Extensive SQL experience, specifically in your current role.
β’ Proven ability to work independently and make decisions with minimal direction within assigned timelines.
β’ Able to express thoughts and ideas in fluent and concise manner.
Preferred Qualifications:
β’ Background in fraud prevention, with emphasis on tax fraud.
β’ Experience building ETL pipelines.
β’ Experience with Tableau/QlikView or and other data visualization software.
β’ Experience with Github / Splunk / Python
Bachelorβs degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline.
You will receive the following benefits:
β’ Medical Insurance & Health Savings Account (HSA)
β’ 401(k)
β’ Paid Sick Time Leave
β’ Pre-tax Commuter Benefit
Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in todayβs highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.
Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.
Fraud Data Analyst
12 Month Contract (Possible extension)
Location: Hybrid (Client located in Mountain View, CA)
Work Shift: Monday through Friday (8:00AM β 5:00PM PST)
β’ Must be able to work on W-2 basis
β’ Must be local to the Mountain View, CA area
JOB DESCRIPTION
This global financial technology leader has an immediate long-term contract opportunity in Mountain View, CA for a Fraud Data Analyst This position requires working onsite Monday-Friday.
Contract Duration: 12+ Months
We are seeking a Fraud Analyst to join our Trust & Safety team.
In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, aiming to gain a comprehensive understanding of how bad actors operate. This requires a keen eye for detail, strong analytical skills, and familiarity with data visualization techniques. You will be responsible for creating intuitive dashboards that will allow your stakeholders to monitor and mitigate these fraudulent patterns efficiently.
β’ Transform data into actionable and relevant insights for your stakeholders.
β’ Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets
β’ Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers.
β’ Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions
β’ Perform in-depth exploration and analysis of both internal and external data sources
β’ Identify developing patterns of fraudulent activities within the company's extensive range of products
β’ Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes
β’ Work closely with local and global teams in policy, product, data engineering, data science, and R&D.
Skills:
Qualifications Required Qualifications:
β’ +4 years of experience analyzing complex datasets and providing business recommendations.
β’ +4 years of experience working in an e-commerce, payments, or financial services company.
β’ +4 years of experience building dashboards and data visualization.
β’ Extensive SQL experience, specifically in your current role.
β’ Proven ability to work independently and make decisions with minimal direction within assigned timelines.
β’ Able to express thoughts and ideas in fluent and concise manner.
Preferred Qualifications:
β’ Background in fraud prevention, with emphasis on tax fraud.
β’ Experience building ETL pipelines.
β’ Experience with Tableau/QlikView or and other data visualization software.
β’ Experience with Github / Splunk / Python
Bachelorβs degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline.
You will receive the following benefits:
β’ Medical Insurance & Health Savings Account (HSA)
β’ 401(k)
β’ Paid Sick Time Leave
β’ Pre-tax Commuter Benefit
Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in todayβs highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.
Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future.